Amanda K. Montoya
Amanda K. Montoya is an Assistant Professor at the University of California – Los Angeles in the Department of Psychology – Quantitative Area. She previously worked with Dr. Andrew Hayes in the Mechanisms and Contingencies Lab and completed her PhD in Quantitative Psychology at the Ohio State University. She was an NSF Graduate Research Fellow. Amanda’s research focuses on improving the ability of psychology researchers to answer their questions of interest using sound statistical methods and by developing easy to use tools to encourage researchers to use the most advanced methods available. She has focused her research on mediation, moderation, conditional process models, structural equation modeling, and measurement including factor analysis and item response theory. Amanda is also interested in improving our ability to conduct meta-science by developing statistical methods in meta-analysis, and understanding the impact of research practices on our ability to create replicable science. Her work can be found in journals such as Psychological Methods, Psychological Bulletin, Public Health Reports, the Journal of Experimental Psychology, and many others. Amanda develops tools for researchers to implement complex analytical procedures, such as MEMORE (Mediation and Moderation for Repeated Measures Designs) and OGRS (Omnibus Groups Regions of Significance). Amanda has taught workshops on mediation, moderation, and conditional process analysis at a variety of conferences such as the Society for Personality and Social Psychology and the Southeastern Psychological Association as well as many universities including the University of Washington and University of San Francisco. Amanda’s research, teaching, and consulting services can be found online at akmontoya.com.